A three-dimensional wall thickness calculation algorithm reduced measurement error in software phantoms to 1.6% at mid to low slices compared to 8.1% with the planar method.
Does a three-dimensional wall thickness calculation algorithm improve the accuracy of cardiac wall thickness measurements compared to planar methods in short-axis MR imaging?
A novel 3D wall thickness calculation algorithm significantly reduces overestimation errors compared to standard 2D planar methods in short-axis cardiac MRI.
Absolute Event Rate: 1.6% vs 8.1%
In multiple slice, multiple phase short-axis MR images of the left ventricle the cardiac wall and imaging plane are often at an oblique angle. Planar wall thickness measurements will consequently not be measured perpendicular to the myocardial wall, and therefore overestimate true wall thickness. To correct for this deficiency a three-dimensional wall thickness calculation algorithm has been developed, based on the planar improved centerline method. Evaluation was carried out using software phantoms and MR imaging studies obtained from twenty healthy individuals. When applied to the software phantoms the 3D method demonstrated an error of only 1.6% at the mid to low slices and 10.6% at the apex, compared to errors of 8.1% and 28.6% with the planar method, respectively. In patient studies 3D wall thickness results at apical, low and mid slices were 11.2%, 8.7% and 2.6% smaller than the corresponding 2D values. In conclusion, this three-dimensional approach significantly improves the assessment of cardiac wall thickness measurements from short-axis MR studies.
Buller et al. (Tue,) conducted a other in Healthy individuals (left ventricle wall thickness measurement) (n=20). Three-dimensional wall thickness calculation algorithm vs. Planar (2D) method was evaluated on Measurement error at mid to low slices in software phantoms. A three-dimensional wall thickness calculation algorithm reduced measurement error in software phantoms to 1.6% at mid to low slices compared to 8.1% with the planar method.